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Finding MEMo: minimum sets of elementary flux modes.
Röhl, Annika; Bockmayr, Alexander.
Afiliación
  • Röhl A; Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 6, 14195, Berlin, Germany. annika.roehl@fu-berlin.de.
  • Bockmayr A; Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 6, 14195, Berlin, Germany.
J Math Biol ; 79(5): 1749-1777, 2019 10.
Article en En | MEDLINE | ID: mdl-31388689
Metabolic network reconstructions are widely used in computational systems biology for in silico studies of cellular metabolism. A common approach to analyse these models are elementary flux modes (EFMs), which correspond to minimal functional units in the network. Already for medium-sized networks, it is often impossible to compute the set of all EFMs, due to their huge number. From a practical point of view, this might also not be necessary because a subset of EFMs may already be sufficient to answer relevant biological questions. In this article, we study MEMos or minimum sets of EFMs that can generate all possible steady-state behaviours of a metabolic network. The number of EFMs in a MEMo may be by several orders of magnitude smaller than the total number of EFMs. Using MEMos, we can compute generating sets of EFMs in metabolic networks where the whole set of EFMs is too large to be enumerated.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes y Vías Metabólicas / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes y Vías Metabólicas / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania